Evaluation method for updating capacity of loose pore pressure-bearing underground water in plain area

Abstract

The invention is suitable for the technical field of groundwater evaluation, and provides a plain area loose pore pressure-bearing groundwater renewal capacity evaluation method, which comprises the following steps: constructing a groundwater renewal capacity evaluation two-stage index system and determining each evaluation index grade interval according to a plain area loose pressure-bearing groundwater resource renewal mechanism; according to the collected hydrogeological related data and a set index grade interval, the secondary evaluation indexes and the primary quantitative indexes are scored, scores of the primary qualitative indexes are generated according to secondary index membership degree vectors and preset weights, and the groundwater renewal capacity comprehensive evaluation indexes are calculated according to the scores of the primary indexes and the preset weights. Therefore, by constructing the multi-stage updatable evaluation index system of the underground water system and comprehensively considering the development background of the underground water, the artificial mining influence, the water circulation updating rate and other factors, the accuracy and comprehensiveness of the underground water updating capability evaluation are improved.

Description

Technical Field

[0001] This application belongs to the field of groundwater assessment technology, and in particular relates to an assessment method for the regeneration capacity of loose porous confined groundwater in plain areas. Background Technology

[0002] Groundwater, as a crucial component of the water cycle, forms hydraulic connections with other water bodies through recharge, runoff, and discharge. It also serves as a vital freshwater resource, holding a significant position in my country's water resource system. Groundwater regeneration capacity refers to its ability to participate in the water cycle and be renewed or replaced by external water sources. It reflects the quality of groundwater recharge capacity to a certain extent and is fundamental to the sustainable utilization of groundwater resources. Only by understanding groundwater regeneration capacity can we determine the potential for rational development and utilization, avoiding over-extraction that leads to a drop in the groundwater level and subsequent geological disasters such as land subsidence and ground fissures.

[0003] Currently, the following methods are mainly used in the study of groundwater renewal capacity in China: (1) Isotope technology. The age of groundwater is determined by isotopes (such as tritium, oxygen-18, carbon-13, etc.), thereby estimating the renewal cycle and rate of groundwater. This method can provide relatively accurate data on groundwater renewal capacity, but due to limitations in the accuracy of isotope dating technology and the representativeness of sample collection, the evaluation results may have certain errors. (2) Groundwater dynamic equilibrium method. By analyzing changes in groundwater level, the groundwater recharge and discharge are calculated, and then the renewal cycle and recharge rate are calculated. This method is based on hydrogeological principles and can reflect the dynamic changes in groundwater renewal, but it requires a large amount of hydrogeological data, and due to limitations in data quality and model accuracy, the evaluation results may have certain uncertainties. (3) Hydrogeological analysis. The renewal capacity of groundwater is assessed by analyzing aquifer structure, hydrogeological parameters, etc. This method can provide relatively comprehensive information on groundwater renewal capacity, but due to limitations in survey methods and personnel experience, the evaluation results may have certain subjectivity. In summary, current methods for evaluating groundwater renewal capacity in China suffer from low accuracy and poor adaptability. Summary of the Invention

[0004] This application provides a method, apparatus, terminal equipment, and storage medium for evaluating the regeneration capacity of loose porous confined groundwater in plain areas, which can solve the problems of low accuracy and poor adaptability of current domestic groundwater regeneration capacity evaluation methods.

[0005] In a first aspect, embodiments of this application provide a method for evaluating the regeneration capacity of loose porous confined groundwater in plain areas, comprising: Step 1, constructing a two-level index system for evaluating groundwater regeneration capacity based on multiple influencing factors, wherein the multiple influencing factors constitute the primary qualitative and primary quantitative indicators of the two-level index system, and the driving factors of each primary qualitative indicator constitute secondary indicators; each secondary indicator includes multiple evaluation levels, and each evaluation level corresponds to a preset numerical range interval; Step 2, collecting hydrogeological data of the target area, and combining the preset numerical range intervals corresponding to the multiple evaluation levels in each secondary indicator to determine the evaluation level of each secondary indicator and the score of the primary quantitative indicator. Step 3: Determine the membership vector of each secondary indicator based on the evaluation level of each secondary indicator; Step 4: Generate the score of the primary qualitative indicator based on the membership vector of each secondary indicator corresponding to each primary qualitative indicator and the preset weight of each secondary indicator; Step 5: Generate the comprehensive evaluation index based on the score of each primary qualitative indicator, the preset weight of each primary qualitative indicator, the score of the primary quantitative indicator, and the preset weight of the primary quantitative indicator. The preset weights of each primary qualitative indicator and the primary quantitative indicator are obtained by entropy weight method; Step 6: Draw the groundwater age contour map based on the groundwater radioisotope dating data and compare and correct it with the groundwater renewal evaluation results.

[0006] In one possible implementation of the first aspect, the primary qualitative indicators in step 1 above are natural regeneration capacity and regeneration capacity under human influence, and the primary quantitative indicator is water cycle regeneration rate. Natural regeneration capacity includes three secondary indicators: recharge capacity, hydrogeological structure, and aquifer lithology. Regeneration capacity under human influence includes two secondary indicators: groundwater extraction intensity and water level fluctuation in the extraction layer. Each secondary indicator includes control items and bonus items.

[0007] Optionally, in another possible implementation of the first aspect, step 3 above generates a score for the primary qualitative indicator based on the membership vector corresponding to each secondary indicator of each primary qualitative indicator and the preset weight of each secondary indicator, including:

[0008] Based on the membership vector of each secondary indicator, a discriminant matrix is ​​constructed, where each row of the discriminant matrix represents the membership vector of a secondary indicator.

[0009] Construct a weight vector based on the preset weights of each secondary indicator;

[0010] Multiply the discrimination matrix and the weight vector to generate a comprehensive evaluation vector;

[0011] Based on the comprehensive evaluation vector and combined with the scoring method, scores are generated for each primary qualitative indicator.

[0012] Optionally, in another possible implementation of the first aspect, step 4 above generates a comprehensive evaluation index based on the score of each primary qualitative indicator, the preset weight of each primary qualitative indicator, the score of the primary quantitative indicator, and the preset weight of the primary quantitative indicator, including:

[0013] The scores of each primary qualitative indicator are weighted and summed according to their preset weights to form the comprehensive score of the qualitative part;

[0014] The overall score of the quantitative component is obtained by multiplying the score of the primary quantitative indicator by the preset weight of the primary quantitative indicator.

[0015] The comprehensive scores of the qualitative and quantitative components are summed to generate a comprehensive evaluation index that reflects the groundwater renewal capacity of the target area.

[0016] Optionally, in another possible implementation of the first aspect, the preset weights of each primary qualitative indicator and the preset weights of each primary quantitative indicator in step 4 above are obtained through entropy weighting, including:

[0017] Normalize the secondary indicators in the collected hydrogeological data of the target area.

[0018] Calculate the proportion of each secondary indicator in all evaluation samples, and calculate the information entropy of each secondary indicator accordingly;

[0019] The entropy residual of each secondary indicator is calculated using information entropy, thereby determining the objective weight of each secondary indicator;

[0020] Based on the hierarchical structure of each primary indicator consisting of multiple secondary indicators, the preset weights of each primary qualitative and quantitative indicator are obtained through weighted summarization and normalization operations using the objective weights of each secondary indicator.

[0021] Optionally, in another possible implementation of the first aspect, after generating the comprehensive evaluation index based on the score of each primary qualitative indicator, the preset weight of each primary qualitative indicator, the score of the primary quantitative indicator, and the preset weight of the primary quantitative indicator, it further includes:

[0022] Hydrogeological data of the target area are collected at preset time intervals. The membership vectors of each secondary indicator and the scores of the primary quantitative indicators are re-determined based on the updated hydrogeological data at each preset time interval. The comprehensive evaluation index is updated according to the aforementioned steps to dynamically reflect the changes in the regional groundwater renewal capacity.

[0023] Secondly, this application provides an evaluation device for the regeneration capacity of loose porous confined groundwater in plain areas, comprising: a construction module, used to construct a two-level indicator system for groundwater regeneration capacity evaluation based on multiple influencing factors, wherein the multiple influencing factors constitute the primary qualitative and primary quantitative indicators of the two-level indicator system, and the driving factors of each primary qualitative indicator constitute secondary indicators; each secondary indicator includes multiple evaluation levels, and each evaluation level corresponds to a preset numerical range interval; a determination module, used to collect hydrogeological data of the target area, and determine the evaluation level of each secondary indicator and the score of the primary quantitative indicator by combining the preset numerical range intervals corresponding to the multiple evaluation levels in each secondary indicator; and based on each The evaluation level of each secondary indicator determines the membership vector of each secondary indicator; the first generation module is used to generate the score of the primary qualitative indicator based on the membership vector of each secondary indicator corresponding to each primary qualitative indicator and the preset weight of each secondary indicator; the second generation module is used to generate a comprehensive evaluation index based on the score of each primary qualitative indicator, the preset weight of each primary qualitative indicator, the score of the primary quantitative indicator, and the preset weight of the primary quantitative indicator. The preset weights of each primary qualitative indicator and the preset weights of the primary quantitative indicator are obtained by entropy weight method; the comparison and correction module is used to draw groundwater age contour maps based on groundwater radioisotope dating data and compare and correct them with the groundwater update evaluation results.

[0024] Thirdly, embodiments of this application provide a terminal device, including: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the aforementioned evaluation method for the regeneration capacity of loose porous confined groundwater in plain areas.

[0025] Fourthly, embodiments of this application provide a computer-readable storage medium storing a computer program thereon, which, when executed by a processor, implements the aforementioned method for evaluating the regeneration capacity of loose porous confined groundwater in plain areas.

[0026] Beneficial Effects: In this technical solution, based on the regeneration mechanism of loose confined groundwater in plain areas, a two-level index system for evaluating groundwater regeneration capacity is constructed, and the grade ranges for each evaluation index are determined. Based on collected hydrogeological data and the index grade ranges, the secondary evaluation indicators and primary quantitative indicators are scored. Based on the membership vector of the secondary indicators and preset weights, the scores of the primary qualitative indicators are generated. Based on the scores of each primary indicator and preset weights, a comprehensive evaluation index of groundwater regeneration capacity is calculated. Therefore, by constructing a multi-level regeneration evaluation index system for the groundwater system, comprehensively considering factors such as the development background of groundwater, the impact of human extraction, and the water cycle renewal rate, the accuracy and comprehensiveness of the evaluation of groundwater regeneration capacity are improved. Attached Figure Description

[0027] To more clearly illustrate the technical solutions in the embodiments of this application, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0028] Figure 1 This is a flowchart illustrating an embodiment of the method for evaluating the regeneration capacity of loose porous confined groundwater in plains areas provided in this application.

[0029] Figure 2 This is a schematic diagram of the structure of a two-level index system for evaluating groundwater renewal capacity provided in an embodiment of this application;

[0030] Figure 3 This is a schematic diagram of the structure of an evaluation device for the regeneration capacity of loose porous confined groundwater in plains areas provided in an embodiment of this application;

[0031] Figure 4 This is a schematic diagram of the structure of the terminal device provided in the embodiments of this application. Detailed Implementation

[0032] In the following description, specific details such as particular system architectures and techniques are set forth for illustrative purposes and not for limitation, in order to provide a thorough understanding of the embodiments of this application. However, those skilled in the art will understand that this application may also be implemented in other embodiments without these specific details. In other instances, detailed descriptions of well-known systems, apparatuses, circuits, and methods have been omitted so as not to obscure the description of this application with unnecessary detail.

[0033] It should be understood that, when used in this application specification and the appended claims, the term "comprising" indicates the presence of the described features, integrals, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, integrals, steps, operations, elements, components and / or a collection thereof.

[0034] It should also be understood that the term “and / or” as used in this application specification and the appended claims means any combination of one or more of the associated listed items and all possible combinations, and includes such combinations.

[0035] As used in this application specification and the appended claims, the term "if" may be interpreted, depending on the context, as "when," "once," "in response to determination," or "in response to detection." Similarly, the phrase "if determined" or "if detected [the described condition or event]" may be interpreted, depending on the context, as meaning "once determined," "in response to determination," "once detected [the described condition or event]," or "in response to detection [the described condition or event]."

[0036] Furthermore, in the description of this application and the appended claims, the terms "first," "second," "third," etc., are used only to distinguish descriptions and should not be construed as indicating or implying relative importance.

[0037] References to "one embodiment" or "some embodiments" as described in this specification mean that one or more embodiments of this application include a specific feature, structure, or characteristic described in connection with that embodiment. Therefore, the phrases "in one embodiment," "in some embodiments," "in other embodiments," "in still other embodiments," etc., appearing in different parts of this specification do not necessarily refer to the same embodiment, but rather mean "one or more, but not all, embodiments," unless otherwise specifically emphasized. The terms "comprising," "including," "having," and variations thereof mean "including but not limited to," unless otherwise specifically emphasized.

[0038] The following description, with reference to the accompanying drawings, details the evaluation method, apparatus, terminal equipment, and storage medium for the regeneration capacity of loose porous confined groundwater in plain areas provided in this application.

[0039] Figure 1 This illustration shows a flowchart of an evaluation method for the regeneration capacity of loose porous confined groundwater in plain areas, provided by an embodiment of this application.

[0040] like Figure 1 As shown, the evaluation method for the regeneration capacity of loose porous confined groundwater in this plain area includes the following steps:

[0041] Step 101: Based on multiple influencing factors of groundwater regeneration capacity, construct a two-level indicator system for evaluating groundwater regeneration capacity. The multiple influencing factors constitute the first-level qualitative indicators and the first-level quantitative indicators of the two-level indicator system. The driving factors of each first-level qualitative indicator constitute the second-level indicators. Each second-level indicator includes multiple evaluation levels, and each evaluation level corresponds to a preset numerical range.

[0042] Furthermore, in the embodiments of this application, such as Figure 2As shown, in step 101 above, the primary qualitative indicators are natural regeneration capacity and regeneration capacity under human influence, and the primary quantitative indicator is water cycle regeneration rate. Natural regeneration capacity includes three secondary indicators: recharge capacity, hydrogeological structure, and aquifer lithology. Regeneration capacity under human influence includes two secondary indicators: groundwater extraction intensity and water level fluctuation of the extraction layer. Each secondary indicator includes control items and bonus items.

[0043] Step 102: Collect hydrogeological data of the target area, combine the preset numerical ranges corresponding to multiple evaluation levels in each secondary indicator, determine the evaluation level of each secondary indicator and the score of the primary quantitative indicator; determine the membership vector of each secondary indicator based on the evaluation level of each secondary indicator.

[0044] It should be noted that the recharge capacity (N1) is mainly determined by the lithofacies paleogeographic data of the aquifer, assessing the ease with which the hydrogeological unit in the evaluation area can receive hydraulic recharge; the hydrogeological structure (N2) is determined by the hydrogeological profiles and plans of the aquifer in the evaluation area, assessing the integrity of the groundwater system; and the aquifer lithology (N3) is determined by analyzing the particle size of the aquifer sand layer through hydrogeological borehole data, thereby assessing its permeability. The groundwater extraction intensity (H1) is obtained by collecting groundwater extraction data over a cumulative period in the evaluation area and comparing it with the administrative area; the water level fluctuation of the extraction layer (H2) is obtained by analyzing the water level change per unit time from groundwater monitoring data. The water cycle renewal rate (R) is calculated based on hydrogeological data, showing the ratio of the recharge received by the groundwater system per unit time to the total storage capacity of the groundwater system in the evaluation area.

[0045] For example, as shown in Table 1, the recharge capacity (N1) is divided into four levels: good, relatively good, average, and poor; the hydrogeological structure (N2) is divided into four levels: intact, relatively intact, relatively fragmented, and fragmented; the aquifer lithology (N3) is divided into four levels: good, relatively good, average, and poor; the groundwater extraction intensity (H1) is divided into three levels: large, medium, and small; and the water level fluctuation of the extraction layer (H2) is divided into three levels: large, medium, and small. Each secondary indicator has a corresponding preset numerical range.

[0046] It should be noted that the membership vector of each secondary indicator can be determined based on its evaluation level. For example, if the local area is located in a piedmont plain, the evaluation level of the secondary indicator "Recharge Capacity N1" is "Good", and the membership vector of the secondary indicator "Recharge Capacity N1" can be determined as [1,0,0,0]. When the continuous length of the aquifer profile is 80km, the evaluation level of the secondary indicator "Hydrogeological Structure N2" is "Relatively Fragmented", and the membership vector of the secondary indicator "Hydrogeological Structure N2" can be determined as [0,0,1,0].

[0047] Table 1 Preset Range of Indicators

[0048]

[0049] Step 103: Generate the score of the primary qualitative indicator based on the membership vector of each secondary indicator corresponding to each primary qualitative indicator and the preset weight of each secondary indicator.

[0050] Furthermore, in this embodiment of the application, step 103 includes:

[0051] Step 1031: Construct a discriminant matrix based on the membership vector of each secondary indicator. Each row of the discriminant matrix represents the membership vector of a secondary indicator.

[0052] Step 1032: Construct a weight vector based on the preset weights of each secondary indicator;

[0053] Step 1033: Multiply the discrimination matrix and the weight vector to generate the comprehensive evaluation vector;

[0054] Step 1034: Based on the comprehensive evaluation vector and combined with the scoring method, generate the scores for each primary qualitative indicator.

[0055] In one embodiment, natural regeneration capacity (N) is composed of three secondary indicators: recharge capacity (N1), hydrogeological structure (N2), and aquifer lithology (N3). When the evaluation level of N1 is "good," its membership vector is denoted as [1,0,0,0]; when the evaluation level of N2 is "relatively good," its membership vector is denoted as [0,1,0,0]; and when the evaluation level of N3 is "good," its membership vector is denoted as [1,0,0,0]. Then, the membership vectors of each secondary indicator are arranged into a matrix to construct a discriminant matrix (rows represent secondary indicators, and columns represent levels):

[0056]

[0057] Assuming that the pre-defined weights for recharge capacity (N1), hydrogeological structure (N2), and aquifer lithology (N3) are all 0.33, then the weight vector for the natural groundwater circulation capacity (N) is:

[0058] W N =[0.33,0.33,0.33]

[0059] Next, the discrimination matrix and the weight vector are multiplied to generate the comprehensive evaluation vector:

[0060]

[0061] Finally, based on the comprehensive evaluation vector B N By combining the scoring method, a score is generated for the natural renewal capacity (N).

[0062] Step 104: Generate a comprehensive evaluation index based on the scores of each primary qualitative indicator, the preset weights of each primary qualitative indicator, the scores of the primary quantitative indicators, and the preset weights of the primary quantitative indicators. The preset weights of each primary qualitative indicator and the preset weights of the primary quantitative indicators are obtained through entropy weighting.

[0063] Furthermore, in this embodiment of the application, the step 104 above, which generates a comprehensive evaluation index based on the score of each primary qualitative indicator, the preset weight of each primary qualitative indicator, the score of the primary quantitative indicator, and the preset weight of the primary quantitative indicator, includes:

[0064] The scores of each primary qualitative indicator are weighted and summed according to their preset weights to form the comprehensive score of the qualitative part;

[0065] The overall score of the quantitative component is obtained by multiplying the score of the primary quantitative indicator by the preset weight of the primary quantitative indicator.

[0066] The comprehensive scores of the qualitative and quantitative components are summed to generate a comprehensive evaluation index that reflects the groundwater renewal capacity of the target area.

[0067] For example, in one embodiment, the preset weights for natural regeneration capacity, regeneration capacity under human influence, and water cycle regeneration rate are 0.4, 0.3, and 0.3, respectively, and the scores for natural regeneration capacity, regeneration capacity under human influence, and water cycle regeneration rate are 0.924, 0.7, and 1.0, respectively. Then, the comprehensive evaluation index T is:

[0068] T=0.924*0.4+0.7*0.3+1.0*0.3=0.8796

[0069] Furthermore, in this embodiment of the application, the preset weights of each primary qualitative indicator and the preset weights of each primary quantitative indicator in step 104 above are obtained through entropy weighting, including:

[0070] Normalize the secondary indicators in the collected hydrogeological data of the target area.

[0071] Calculate the proportion of each secondary indicator in all evaluation samples, and calculate the information entropy of each secondary indicator accordingly;

[0072] The entropy residual of each secondary indicator is calculated using information entropy, thereby determining the objective weight of each secondary indicator;

[0073] Based on the hierarchical structure of each primary indicator consisting of multiple secondary indicators, the preset weights of each primary qualitative and quantitative indicator are obtained through weighted summarization and normalization operations using the objective weights of each secondary indicator.

[0074] Furthermore, in this embodiment of the application, after step 104 above, the following may also be included:

[0075] Hydrogeological data of the target area are collected at preset time intervals. The membership vectors of each secondary indicator and the scores of the primary quantitative indicators are re-determined based on the updated hydrogeological data at each preset time interval. The comprehensive evaluation index is updated according to the aforementioned steps to dynamically reflect the changes in the regional groundwater renewal capacity.

[0076] Step 105: Based on the radiometric dating data of groundwater, draw a groundwater age contour map and compare and correct it with the groundwater renewal evaluation results.

[0077] The evaluation method for the regeneration capacity of confined groundwater in plain areas provided in this application first constructs a two-level index system for groundwater regeneration capacity evaluation based on multiple influencing factors. These multiple influencing factors constitute the primary qualitative and quantitative indicators of the two-level index system, and the driving factors of each primary qualitative indicator constitute the secondary indicators. Each secondary indicator includes multiple evaluation levels, each corresponding to a preset numerical range. Then, hydrogeological data of the target area is collected, and combined with the preset numerical ranges corresponding to the multiple evaluation levels in each secondary indicator, the evaluation level of each secondary indicator and the score of the primary quantitative indicator are determined. Based on the scores of each secondary indicator... The evaluation level of the primary indicators determines the membership vector of each secondary indicator. Then, based on the membership vector of each secondary indicator corresponding to each primary qualitative indicator and the preset weight of each secondary indicator, a score for the primary qualitative indicator is generated. Next, based on the scores and preset weights of each primary qualitative indicator, and the scores and preset weights of the primary quantitative indicators, a comprehensive evaluation index is generated. The preset weights of each primary qualitative and quantitative indicator are obtained through entropy weighting. Finally, based on groundwater radioisotope dating data, a groundwater age contour map is drawn and compared with the groundwater regeneration evaluation results for correction. Therefore, by constructing a multi-level renewable evaluation index system for the groundwater system, comprehensively considering factors such as the development background of groundwater, the impact of human extraction, and the water cycle renewal rate, the accuracy and comprehensiveness of the groundwater regeneration capacity evaluation are improved.

[0078] It should be understood that the size of the serial numbers of the steps in the above embodiments does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of this application.

[0079] Corresponding to the evaluation method for the regeneration capacity of loose porous confined groundwater in plain areas described in the above embodiment, Figure 3The diagram shows a structural block diagram of an evaluation device for the regeneration capacity of loose porous confined groundwater in plain areas, provided in an embodiment of this application. For ease of explanation, only the parts relevant to the embodiment of this application are shown.

[0080] Reference Figure 3 The device 300 includes:

[0081] Module 301 is used to construct a two-level indicator system for evaluating groundwater regeneration capacity based on multiple influencing factors. The multiple influencing factors constitute the first-level qualitative indicators and the first-level quantitative indicators of the two-level indicator system. The driving factors of each first-level qualitative indicator constitute the second-level indicators. Each second-level indicator includes multiple evaluation levels, and each evaluation level corresponds to a preset numerical range.

[0082] The determination module 302 is used to collect hydrogeological data of the target area, combine the preset numerical ranges corresponding to multiple evaluation levels in each secondary indicator, determine the evaluation level of each secondary indicator and the score of the primary quantitative indicator; and determine the membership vector of each secondary indicator based on the evaluation level of each secondary indicator.

[0083] The first generation module 303 is used to generate the score of the first-level qualitative indicator based on the membership vector corresponding to each second-level indicator of each first-level qualitative indicator and the preset weight of each second-level indicator.

[0084] The second generation module 304 is used to generate a comprehensive evaluation index based on the score of each primary qualitative indicator, the preset weight of each primary qualitative indicator, the score of the primary quantitative indicator, and the preset weight of the primary quantitative indicator. The preset weights of each primary qualitative indicator and the primary quantitative indicator are obtained by entropy weight method.

[0085] The comparison and correction module 305 is used to draw groundwater age contour maps based on groundwater radioisotope dating data and compare and correct them with the groundwater update evaluation results.

[0086] In practical use, the evaluation device for the regeneration capacity of loose porous confined groundwater in plain areas provided in this application embodiment can be configured in any terminal device to perform the aforementioned evaluation method for the regeneration capacity of loose porous confined groundwater in plain areas.

[0087] The device for evaluating the regeneration capacity of confined porous groundwater in plain areas provided in this application constructs a two-level index system for groundwater regeneration capacity evaluation based on the regeneration mechanism of confined porous groundwater in plain areas and determines the grade range of each evaluation index. Based on collected hydrogeological data and index grade ranges, scores are assigned to the secondary evaluation indicators and the primary quantitative indicators. The scores of the primary qualitative indicators are generated based on the membership vector of the secondary indicators and preset weights. Finally, a comprehensive evaluation index of groundwater regeneration capacity is calculated based on the scores of each primary indicator and preset weights. Therefore, by constructing a multi-level regeneration evaluation index system for the groundwater system, and comprehensively considering factors such as the development background of groundwater, the impact of human extraction, and the water cycle renewal rate, the accuracy and comprehensiveness of the evaluation of groundwater regeneration capacity are improved.

[0088] It should be noted that the information interaction and execution process between the above-mentioned devices / units are based on the same concept as the method embodiments of this application. For details on their specific functions and technical effects, please refer to the method embodiments section, and they will not be repeated here.

[0089] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the above-described division of functional units and modules is merely an example. In practical applications, the above functions can be assigned to different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above. The functional units and modules in the embodiments can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit. Furthermore, the specific names of the functional units and modules are only for easy differentiation and are not intended to limit the scope of protection of this application. The specific working process of the units and modules in the above system can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.

[0090] To implement the above embodiments, this application also proposes a terminal device.

[0091] Figure 4 This is a schematic diagram of the structure of a terminal device according to an embodiment of this application.

[0092] like Figure 4 As shown, the terminal device 200 includes:

[0093] The system includes a memory 210 and at least one processor 220, and a bus 230 connecting different components (including the memory 210 and the processor 220). The memory 210 stores a computer program, which, when executed by the processor 220, implements the evaluation method for the regeneration capacity of loose porous confined groundwater in plain areas as described in the embodiments of this application.

[0094] Bus 230 represents one or more of several bus architectures, including a memory bus or memory controller, a peripheral bus, a graphics acceleration port, a processor, or a local bus using any of the various bus architectures. Examples of these architectures include, but are not limited to, the Industry Standard Architecture (ISA) bus, the Micro Channel Architecture (MAC) bus, the Enhanced ISA bus, the Video Electronics Standards Association (VESA) local bus, and the Peripheral Component Interconnect (PCI) bus.

[0095] Terminal device 200 typically includes various electronically readable media. These media can be any available media that can be accessed by terminal device 200, including volatile and non-volatile media, removable and non-removable media.

[0096] Memory 210 may also include computer system readable media in the form of volatile memory, such as random access memory (RAM) 240 and / or cache memory 250. Terminal device 200 may further include other removable / non-removable, volatile / non-volatile computer system storage media. By way of example only, storage system 260 may be used to read and write non-removable, non-volatile magnetic media (…). Figure 4 Not shown; usually referred to as a "hard drive"). Although Figure 4 Not shown, a disk drive for reading and writing to a removable non-volatile disk (e.g., a "floppy disk") and an optical disk drive for reading and writing to a removable non-volatile optical disk (e.g., a CD-ROM, DVD-ROM, or other optical media) may be provided. In these cases, each drive may be connected to bus 230 via one or more data media interfaces. Memory 210 may include at least one program product having a set (e.g., at least one) of program modules configured to perform the functions of the embodiments of this application.

[0097] A program / utility 280 having a set (at least one) of program modules 270 may be stored in, for example, memory 210. Such program modules 270 include—but are not limited to—an operating system, one or more application programs, other program modules, and program data. Each or some combination of these examples may include an implementation of a network environment. Program modules 270 typically perform the functions and / or methods described in the embodiments of this application.

[0098] Terminal device 200 can also communicate with one or more external devices 290 (e.g., keyboard, pointing device, display 291, etc.), and with one or more devices that enable a user to interact with terminal device 200, and / or with any device that enables terminal device 200 to communicate with one or more other computing devices (e.g., network card, modem, etc.). This communication can be performed via input / output (I / O) interface 292. Furthermore, terminal device 200 can also communicate with one or more networks (e.g., local area network (LAN), wide area network (WAN), and / or public networks, such as the Internet) via network adapter 293. As shown, network adapter 293 communicates with other modules of terminal device 200 via bus 230. It should be understood that, although not shown in the figures, other hardware and / or software modules can be used in conjunction with terminal device 200, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems.

[0099] The processor 220 performs various functional applications and data processing by running programs stored in the memory 210.

[0100] It should be noted that the implementation process and technical principles of the terminal device in this embodiment are explained in the foregoing description of the evaluation method for the regeneration capacity of loose porous confined groundwater in plain areas according to the embodiments of this application, and will not be repeated here.

[0101] This application also provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the steps described in the various method embodiments above.

[0102] This application provides a computer program product that, when run on a terminal device, enables the terminal device to implement the steps described in the various method embodiments above.

[0103] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, all or part of the processes in the methods of the above embodiments of this application can be implemented by a computer program instructing related hardware. The computer program can be stored in a computer-readable storage medium, and when executed by a processor, it can implement the steps of the various method embodiments described above. The computer program includes computer program code, which can be in the form of source code, object code, executable files, or certain intermediate forms. The computer-readable medium can include at least: any entity or device capable of carrying computer program code to a photographing device / terminal device, a recording medium, a computer memory, a read-only memory (ROM), a random access memory (RAM), an electrical carrier signal, a telecommunication signal, and a software distribution medium. Examples include USB flash drives, portable hard drives, magnetic disks, or optical disks. In some jurisdictions, according to legislation and patent practice, computer-readable media cannot be electrical carrier signals or telecommunication signals.

[0104] In the above embodiments, the description of each embodiment has its own focus. For parts that are not described or recorded in detail in a certain embodiment, reference can be made to the relevant description of other embodiments.

[0105] Those skilled in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0106] In the embodiments provided in this application, it should be understood that the disclosed devices / terminal equipment and methods can be implemented in other ways. For example, the device / terminal equipment embodiments described above are merely illustrative. For instance, the division of modules or units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the displayed or discussed mutual coupling or direct coupling or communication connection may be through some interfaces; the indirect coupling or communication connection between devices or units may be electrical, mechanical, or other forms.

[0107] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0108] The above-described embodiments are only used to illustrate the technical solutions of this application, and are not intended to limit them. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of this application, and should all be included within the protection scope of this application.

Claims

1. A method for evaluating the renewal capacity of loose porous confined groundwater in plain areas, characterized in that, Includes the following steps: Step 1: Based on multiple influencing factors of groundwater regeneration capacity, construct a two-level indicator system for evaluating groundwater regeneration capacity. The multiple influencing factors constitute the first-level qualitative indicators and the first-level quantitative indicators of the two-level indicator system. The driving factors of each first-level qualitative indicator constitute the second-level indicators. Each second-level indicator includes multiple evaluation levels, and each evaluation level corresponds to a preset numerical range. Step 2: Collect hydrogeological data of the target area, combine the preset numerical ranges corresponding to multiple evaluation levels in each secondary indicator, determine the evaluation level of each secondary indicator and the score of the primary quantitative indicator; determine the membership vector of each secondary indicator based on the evaluation level of each secondary indicator. Step 3: Generate the score for the primary qualitative indicator based on the membership vector of each secondary indicator corresponding to each primary qualitative indicator and the preset weight of each secondary indicator. Step 4: Based on the scores of each primary qualitative indicator and the preset weights of each primary qualitative indicator, as well as the scores and preset weights of the primary quantitative indicators, a comprehensive evaluation index is generated. The preset weights of each primary qualitative indicator and the preset weights of the primary quantitative indicators are obtained through entropy weighting. Step 5: Based on the radiometric dating data of groundwater, draw a groundwater age contour map and compare and correct it with the groundwater renewal evaluation results.

2. The method as described in claim 1, characterized in that, In step 1, the primary qualitative indicators are natural regeneration capacity and regeneration capacity under human influence, and the primary quantitative indicator is water cycle regeneration rate. Natural regeneration capacity includes three secondary indicators: recharge capacity, hydrogeological structure, and aquifer lithology. Regeneration capacity under human influence includes two secondary indicators: groundwater extraction intensity and water level fluctuation of the extraction layer. Each secondary indicator includes control items and bonus items.

3. The method according to claim 2, characterized in that, In step 3, the scoring of the primary qualitative indicators is generated based on the membership vector corresponding to each secondary indicator of each primary qualitative indicator and the preset weight of each secondary indicator, including: Based on the membership vector of each secondary indicator, a discriminant matrix is ​​constructed, where each row of the discriminant matrix represents the membership vector of a secondary indicator. Construct a weight vector based on the preset weights of each secondary indicator; Multiply the discrimination matrix and the weight vector to generate a comprehensive evaluation vector; Based on the comprehensive evaluation vector and combined with the scoring method, scores are generated for each primary qualitative indicator.

4. The method according to claim 3, characterized in that Step 4 describes generating a comprehensive evaluation index based on the scores and preset weights of each primary qualitative indicator, as well as the scores and preset weights of the primary quantitative indicators. This includes: The scores of each primary qualitative indicator are weighted and summed according to their preset weights to form the comprehensive score of the qualitative part; The overall score of the quantitative component is obtained by multiplying the score of the primary quantitative indicator by the preset weight of the primary quantitative indicator. The comprehensive scores of the qualitative and quantitative components are weighted and summed according to a preset ratio to generate a comprehensive evaluation index that reflects the groundwater renewal capacity of the target area.

5. The method as described in claim 4, characterized in that, The preset weights of each primary qualitative indicator and the preset weights of each primary quantitative indicator in step 4 are obtained through entropy weighting, including: Normalize the secondary indicators in the collected hydrogeological data of the target area. Calculate the proportion of each secondary indicator in all evaluation samples, and calculate the information entropy of each secondary indicator accordingly; The entropy residual of each secondary indicator is calculated using information entropy, thereby determining the objective weight of each secondary indicator; Based on the hierarchical structure of each primary indicator consisting of multiple secondary indicators, the preset weights of each primary qualitative and quantitative indicator are obtained through weighted summarization and normalization operations using the objective weights of each secondary indicator.

6. The method according to any one of claims 1-5, characterized in that, After generating the comprehensive evaluation index based on the score of each primary qualitative indicator, the preset weight of each primary qualitative indicator, the score of the primary quantitative indicator, and the preset weight of the primary quantitative indicator, the process further includes: Hydrogeological data of the target area are collected at preset time intervals. The membership vectors of each secondary indicator and the scores of the primary quantitative indicators are re-determined based on the updated hydrogeological data at each preset time interval. The comprehensive evaluation index is updated according to the aforementioned steps to dynamically reflect the changes in the regional groundwater renewal capacity.

7. A device for constructing and evaluating an index system for assessing the regeneration capacity of loosely porous confined groundwater, characterized in that, include: The module is used to construct a two-level indicator system for evaluating groundwater regeneration capacity based on multiple influencing factors. The multiple influencing factors constitute the first-level qualitative indicators and the first-level quantitative indicators of the two-level indicator system. The driving factors of each first-level qualitative indicator constitute the second-level indicators. Each second-level indicator includes multiple evaluation levels, and each evaluation level corresponds to a preset numerical range. The determination module is used to collect hydrogeological data of the target area, combine the preset numerical ranges corresponding to multiple evaluation levels in each secondary indicator, determine the evaluation level of each secondary indicator and the score of the primary quantitative indicator; and determine the membership vector of each secondary indicator based on the evaluation level of each secondary indicator. The first generation module is used to generate the score of the first-level qualitative indicator based on the membership vector corresponding to each second-level indicator of each first-level qualitative indicator and the preset weight of each second-level indicator. The second generation module is used to generate a comprehensive evaluation index based on the score of each primary qualitative indicator, the preset weight of each primary qualitative indicator, the score of the primary quantitative indicator, and the preset weight of the primary quantitative indicator. The preset weights of each primary qualitative indicator and the primary quantitative indicator are obtained by processing with the entropy weight method. The comparison and correction module is used to draw groundwater age contour maps based on groundwater radioisotope dating data and compare and correct them with the groundwater update evaluation results.

8. A terminal device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the method as described in any one of claims 1-6.

9. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by a processor, it implements the method as described in any one of claims 1-6.

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